In order to achieve the intelligent placement of dampers in frame structures, the dual-objective optimization algorithm (DOOA) and generative adversarial network (GAN) algorithm are employed for the vertical and horizontal intelligent placement of dampers, respectively, based on the damping design principle and intelligent algorithm. Two seismic design engineering cases of frame structures are applied. In the seismic design of frame structures, dual-objective optimization is adopted for vertical damper placement. Compared with the layer-by-layer approximation method, engineer-designed optimized damper placement schemes, and non-damping design, the vertical arrangement scheme of dampers obtained by the improved optimization algorithm can effectively reduce inter-story drift angles and floor accelerations, and enhance the seismic performance of the original structure. After determining the number of dampers for each floor, the plane installation position of dampers on each floor can be quickly and automatically selected and determined by using the trained generative adversarial network generation model. The comprehensive evaluation index of similarity difference degree between the generated plane layout and the plane layout designed by the engineer is less than the critical value of 0.1, which indicates that the similarity between the two is high, and it is beneficial to improve the torsion resistance of the original structure. The combination of dual-objective optimization and generative adversarial network can meet the seismic performance objectives of frame structures, and enable to achieve of intelligent design of the damper placement scheme, and improve the efficiency of seismic design engineering.